适用航空的地形匹配导航算法研究

Research on the TAN Fitting for Aviation

地形轮廓匹配(TERCOM)匹配算法在速度误差和航向误差较大的情况下可靠性下降,桑地亚惯性地形辅助导航(SITAN)算法在初始位置误差较大时Kalman滤波器不能收敛,针对以上问题,提出了一种新的适用航空的地形匹配导航算法。该算法采用基于地形剖面匹配系统(TERPROM)算法作为搜索算法,以基于扩展Kalman滤波原理的SITAN算法作为跟踪算法。将该算法在真实地形数据上仿真,并和传统的基于单状态并行Kalman滤波器阵列做搜索的SITAN算法在不同高度表噪声情况下比较。仿真结果表明,该算法有效地提高了搜索的效率,提高了地形匹配的精度及实用性。

Relatively large velocity error or pitch error declined the reliability of the TERCOM matching algorithm.A great initial position error caused the Kalman filters diverge in the SITAN algorithm.In order to solve above problems,a new terrain aided navigation algorithm fitting for aviation was presented.The new algorithm used the TERCOM algorithm as the searching method and the SITAN algorithm which was based on EKF as the tracking method.Experiments with a real terrain compared the proposed algorithm with the traditional SITAN algorithm based on the single-state parallel Kalman filter arrays in the case of different altimeter noises.The simulation result shows that the proposed algorithm improves the efficiency of the search and enhances the accuracy and practicality of the terrain matching.